The prevalence of anemia during pregnancy and its correlates vary by trimester and hemoglobin assessment method in Eastern Maharashtra, India.

Approximately half of pregnant women in India are anemic, representing over 7.5 million women. Few studies have assessed the relationship between multiple micronutrient deficiencies and anemia during pregnancy or the trajectory of hemoglobin (Hb) during pregnancy in low-resource settings. We enrolled 200 pregnant women from the Maternal and Newborn Health (MNH) registry, a population-based pregnancy and birth registry in Eastern Maharashtra, India to address these gaps. The women provided capillary (finger-prick) and venous blood specimens at enrollment (<15 weeks), and a second capillary specimen in the 3rd trimester (>27 weeks). Capillary specimens were analyzed at the time of collection with a HemoCue Hb 201+; venous specimens were shipped on dry ice to a laboratory for cyanmethemoglobin assessment. In the 1st trimester, mean Hb concentration and anemia (Hb<11.0 g/dL) prevalence using capillary specimens were 10.9 ± 1.5 g/dL and 51.1%; mean Hb concentration using venous blood specimens was estimated to be 11.3 ± 1.3 g/dL and anemia prevalence was 37.5%. The prevalence of iron, vitamin B12 and folate deficiencies were 40%, 30% and 0%, respectively. Among women with anemia in the 1st trimester (venous blood), 56% had concurrent iron deficiency (inflammation-adjusted serum ferritin <15 µg/L) indicating that their anemia may be amenable to iron supplementation. In total, 21% of women had ID and anemia, 19% ID in the absence of anemia, 16.5% anemia in the absence of ID and 43.5% had neither. By the 3rd trimester, mean Hb from capillary specimens had declined to 10.1 ± 1.35 g/dL and anemia prevalence increased to 70.7%, despite 99.4% mothers reporting receipt of iron-folic acid (IFA) supplements during her current pregnancy, and 83.9% reporting IFA consumption the previous day. Significant predictors of anemia in the 1st trimester (both venous and capillary) included the number of weeks gestation at the time of Hb assessment and inflammation-adjusted serum ferritin. For 3rd trimester anemia, significant predictors included 1st trimester height, BMI and IFA consumption during the 3rd trimester (but not 1st trimester micronutrient biomarkers), indicating that IFA supplementation over the course of pregnancy may have influenced micronutrient status and anemia risk. Our findings highlight the severity of the burden of anemia and micronutrient deficiencies in Eastern Maharashtra, but also highlight that in many cases, ID and anemia affect different individuals. Preventing and managing anemia in pregnancy in India will require strengthening both clinical and community-based strategies targeting iron deficiency, as well as other causes of anemia.

Development of mobile phone-based dietary data collection applications in pregnant women and infants for the M-SAKHI trial.

In nutritional epidemiological studies, it is imperative to collect high-quality data to ensure accurate dietary assessment. However, dietary data collection using traditional paper forms has several limitations that may compromise data quality. The aim of this study was to propose novel methods to design and develop software applications (Apps) for dietary data collection to assess the nutritional status of pregnant women and infants. This study is part of the M-SAKHI (Mobile-Solutions for Aiding Knowledge for Health Improvement) cluster randomised controlled trial (cRCT) implemented in central India. Three tablet-based software Apps were developed in this study: the ACEC (Automated Coding and Energy Calculation) App to establish a generic cooked food recipe database, the FFQ (Food Frequency Questionnaire), and the IDR (24 h Infant Dietary Recall) Apps to collect dietary data from pregnant women and their infants from rural area of Bhandara and Nagpur districts. Regional food lists, recipes, and portion resource kits were developed to support the data collection using the Apps. In conclusion, the Apps were user-friendly, required minimal prior training, had built-in validation checks for erroneous data entry and provided automated calculations. The Apps were successfully deployed in low-resource rural settings to accurately collect high-quality regional cooked food data and individual-level dietary data of pregnant women and their infants.

Assessing the Diets of Young Children and Adolescents in India: Challenges and Opportunities.

Sustainably addressing the crisis of undernutrition for children and adolescents in underserved and resource-limited communities will require, among other investments, interventions aimed at optimizing the diets of these vulnerable populations. However, to date, there are substantial global gaps in the collection of dietary data in children and adolescents. This review article summarizes the challenges and opportunities in assessing diet among children and adolescents in India. National surveys in India identify the scale of the triple burden of malnutrition (undernutrition, micronutrient deficiencies and overnutrition) in children and adolescents and assess key nutrition and food security indicators for making informed policy decisions. However, national surveys do not collect data on diet, instead relying on anthropometry, biomarkers of micronutrient deficiencies, and summary measures of diet, such as the WHO infant and young child feeding summary indicators. Sub-national surveys and the scientific literature thus fill important gaps in describing the nutrient intakes of children and adolescents in India; however large gaps remain. Future research can be improved by investments in infrastructure to streamline the assessment of diet in India. The current challenges confronting the collection and analysis of high-quality dietary data occur in both the data collection and data analysis phases. Common methods for assessing diets in low-resource settings-such as 24 h recalls and food frequency questionnaires are particularly challenging to implement well in young children and adolescents due to motivation and memory issues in young respondents. Additionally, there are challenges with parental recall including children having multiple caretakers and meals outside the home. Furthermore, analysis of dietary data is hindered by the lack of affordable, accessible software for dietary data analysis relevant to the diversity in Indian diets. New technologies can address some of the challenges in dietary data collection and analysis, but to date, there are no platforms designed for population-level dietary assessment in India. Public and private sector investment in dietary assessment, as well as collaboration of researchers and the creation of open-source platforms for the sharing of data inputs (local food lists, recipe databases, etc.) will be essential to build infrastructure to better understand the diets of children and adolescents in India and improve dietary interventions in these target groups.

How Do Fruit and Vegetable Markets Operate in Rural India? A Qualitative Study of the Impact of Supply and Demand on Nutrition Security.

BACKGROUND: Diets in rural India are cereal based with low intakes of micronutrient-rich foods. The value chains for nutrition approach aims to study supply and demand of such foods. This may aid in development of interventions to improve diets and livelihoods. OBJECTIVES: (1) To identify how fruit and vegetables are accessed, (2) to describe and map the structure of value chains for exemplar foods, (3) to understand how foods are priced, and (4) to explore factors that affect decisions about which crops are grown, marketed, and sold. METHODS: After stakeholder consultation, we identified 2 fruits (mango and guava) and 2 vegetables (shepu and spinach) as exemplar foods. Criteria for these exemplar foods were that they should be known to participants and there should be variability in intakes. We held 24 interviews with value chain actors including farmers, wholesalers, and vendors of the exemplar foods. Data collection was stopped when no new information emerged. We used inductive thematic coding for our analysis. RESULTS: The value chains for each of the exemplar foods were relatively simple and involved farmers, middlemen, and vendors at either city or village level. The main themes identified as being factors considered when making decisions about which foods to grow and sell were (1) farming resources and assets, (2) quality of produce, (3) environmental conditions, (4) financial factors, (5) transport availability, and (6) consumer demand. CONCLUSIONS: There are opportunities to intervene within fruit and vegetable value chains to increase availability, affordability, and access to produce in rural India. Future research is required to determine which interventions will be feasible, effective, and acceptable to the community and other stakeholders.

Barriers and Facilitators to Fruit and Vegetable Consumption Among Rural Indian Women of Reproductive Age.

BACKGROUND: Micronutrient deficiencies have been a serious public health problem among women of reproductive age in low- and middle-income countries including India, adversely affecting maternal and child health and human capital outcomes. Fruit and vegetables are important sources of micronutrients, and consumption of these foods is less than recommendations. OBJECTIVE: The objective of this study was to identify perceived barriers and facilitators to fruit and vegetable consumption among women of reproductive age living in rural communities in the State of Maharashtra, India. METHODS: Women aged 18 to 40 years were recruited from 8 villages surrounding the city of Wardha, Maharashtra, India. We used qualitative methods and held 9 focus group discussions and 12 one-to-one interviews. The data collection was stopped when no new information emerged. We used inductive thematic coding to analyze the data. RESULTS: Women knew that fruit and vegetables were beneficial to health and expressed that they wanted to increase the intake of these foods for themselves and their children. Seven main themes were identified as being barriers or facilitators to fruit and vegetable consumption: (1) personal factors, (2) household dynamics, (3) social and cultural norms, (4) workload, (5) time pressures, (6) environmental factors, and (7) cost. CONCLUSIONS: Rural Indian women consumed fruit and vegetables infrequently and said they would like to consume more. Several potentially modifiable factors affecting the intake of fruit and vegetables were identified. Value chain analyses of fruit and vegetables in these communities will be important to identify opportunities to intervene and increase consumption.